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      Optimal treatment strategy of fremanezumab in migraine prevention: a systematic review with network meta-analysis of randomized clinical trials

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          Abstract

          Identifying the optimal fremanezumab treatment strategy is crucial in treating patients with migraines. The optimal strategy was investigated by assessing the cumulative 50% reduction rate (50%CRR), cumulative 75% reduction rate (75%CRR), reduction in the number of migraine days, treatment-related adverse events, and serious adverse events in patients treated with fremanezumab 225 mg monthly (225 mg), 675 mg monthly (675 mg), 900 mg monthly (900 mg), a single high dose of 675 mg (S675mg), 675 mg at baseline with 225 mg monthly (675/225 mg), and placebo. Biomedical databases were searched for randomized controlled trials on this topic, and data were individually extracted. Risk ratios and mean differences were used to present the pooled results. The surface under the cumulative ranking curve (SUCRA) was used to determine the effects of the medication strategies of fremanezumab. Five trials (n = 3404) were used to form a six-node network meta-analysis. All fremanezumab medication strategies displayed significantly higher cumulative 50% reduction rates than the placebo. The SUCRA revealed that treatment with 675 mg yielded the highest 50%CRR value (mean rank = 2.5). S675 mg was the only treatment with significantly higher 75%CRR reduction rate than placebo, whereas the SUCRA for 225 mg displayed the highest mean rank (2.2). Moreover, 225 mg (mean rank = 2.2) and S675 mg (mean rank = 2.2) presented lower probabilities of serious adverse events. Collectively, S675mg and 225 mg exhibited the optimal balance between efficacy and safety within three months. Long-term efficacy and safety remain unclear, and future studies should further evaluate the long-term outcomes.

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          The PRISMA extension statement for reporting of systematic reviews incorporating network meta-analyses of health care interventions: checklist and explanations.

          The PRISMA statement is a reporting guideline designed to improve the completeness of reporting of systematic reviews and meta-analyses. Authors have used this guideline worldwide to prepare their reviews for publication. In the past, these reports typically compared 2 treatment alternatives. With the evolution of systematic reviews that compare multiple treatments, some of them only indirectly, authors face novel challenges for conducting and reporting their reviews. This extension of the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analyses) statement was developed specifically to improve the reporting of systematic reviews incorporating network meta-analyses. A group of experts participated in a systematic review, Delphi survey, and face-to-face discussion and consensus meeting to establish new checklist items for this extension statement. Current PRISMA items were also clarified. A modified, 32-item PRISMA extension checklist was developed to address what the group considered to be immediately relevant to the reporting of network meta-analyses. This document presents the extension and provides examples of good reporting, as well as elaborations regarding the rationale for new checklist items and the modification of previously existing items from the PRISMA statement. It also highlights educational information related to key considerations in the practice of network meta-analysis. The target audience includes authors and readers of network meta-analyses, as well as journal editors and peer reviewers.
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            Graphical Tools for Network Meta-Analysis in STATA

            Network meta-analysis synthesizes direct and indirect evidence in a network of trials that compare multiple interventions and has the potential to rank the competing treatments according to the studied outcome. Despite its usefulness network meta-analysis is often criticized for its complexity and for being accessible only to researchers with strong statistical and computational skills. The evaluation of the underlying model assumptions, the statistical technicalities and presentation of the results in a concise and understandable way are all challenging aspects in the network meta-analysis methodology. In this paper we aim to make the methodology accessible to non-statisticians by presenting and explaining a series of graphical tools via worked examples. To this end, we provide a set of STATA routines that can be easily employed to present the evidence base, evaluate the assumptions, fit the network meta-analysis model and interpret its results.
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              CGRP as the target of new migraine therapies — successful translation from bench to clinic

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                Author and article information

                Contributors
                academicnono@gmail.com
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                29 October 2020
                29 October 2020
                2020
                : 10
                : 18609
                Affiliations
                [1 ]GRID grid.412897.1, ISNI 0000 0004 0639 0994, Department of General Medicine, , Taipei Medical University Hospital, ; Taipei, Taiwan
                [2 ]GRID grid.278247.c, ISNI 0000 0004 0604 5314, Department of Medical Education, , Taipei Veterans General Hospital, ; Taipei, Taiwan
                [3 ]GRID grid.412896.0, ISNI 0000 0000 9337 0481, Department of Pharmacy, Wan Fang Hospital, , Taipei Medical University, ; Taipei, Taiwan
                [4 ]GRID grid.412896.0, ISNI 0000 0000 9337 0481, Department of Clinical Pharmacy, School of Pharmacy, , Taipei Medical University, ; Taipei, Taiwan
                [5 ]GRID grid.412896.0, ISNI 0000 0000 9337 0481, Evidence-Based Medicine Center, Wan Fang Hospital, , Taipei Medical University, ; No. 111, Section 3, Xing-Long Road, Taipei, 11696 Taiwan
                [6 ]GRID grid.412896.0, ISNI 0000 0000 9337 0481, Research Center of Big Data and Meta-Analysis, Wan Fang Hospital, , Taipei Medical University, ; Taipei, Taiwan
                [7 ]GRID grid.412896.0, ISNI 0000 0000 9337 0481, Cochrane Taiwan, Taipei Medical University, ; Taipei, Taiwan
                [8 ]GRID grid.19188.39, ISNI 0000 0004 0546 0241, Institute of Health Policy and Management, College of Public Health, , National Taiwan University, ; Taipei, Taiwan
                Article
                75602
                10.1038/s41598-020-75602-8
                7596067
                33122778
                4568e50e-aab7-4bb8-9514-a92663209c98
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 1 May 2020
                : 5 October 2020
                Categories
                Article
                Custom metadata
                © The Author(s) 2020

                Uncategorized
                drug delivery,drug safety,migraine
                Uncategorized
                drug delivery, drug safety, migraine

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